Calendar-Based Autonomous Vehicle Scheduling for Predicted Ride Requests
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Solution Overview
Problem
Autonomous vehicle scheduling is inefficient due to the need for users to access separate applications for requesting vehicle services, and reconciling vehicle availability with shared calendars is difficult, especially for multiple trips made by individuals or groups.
Innovation Solution
Integrating autonomous vehicle scheduling with calendar applications, allowing users to request vehicle services directly within their calendar apps, which automatically evaluate events for conflicts, optimize routes, and predict vehicle use based on historical data, enabling ridesharing and reducing the need for manual scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomous vehicle scheduling is integrated with calendar applications, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent merges the autonomous vehicle request system with the calendar application by integrating a vehicle request interface directly into the calendar event creation workflow. Users can request vehicles by selecting options within existing calendar events, combining two previously separate functions (calendar management and vehicle scheduling) into a unified system that operates through a single application interface.
Solution Approach 2:
The calendar application is enhanced to serve multiple functions: traditional calendar event management plus autonomous vehicle request processing. The system allows the calendar to act as a universal platform that handles both scheduling appointments and requesting transportation services, eliminating the need for separate vehicle request applications and streamlining user interaction.
2Productivity
If the system automatically evaluates calendar events for vehicle requests, then productivity is improved, but use of energy increases
Solution Approach 1:
The system performs preliminary evaluation of calendar events for vehicle request criteria at the time of event creation or modification. By automatically analyzing event details (location, time, participants) and determining vehicle requests upfront during calendar event setup, the system eliminates the need for separate manual vehicle request steps, improving scheduling efficiency while managing computational resources through event-driven processing.
3Loss of time
If the system predicts vehicle use based on historical data, then loss of time is reduced, but device complexity increases
Solution Approach 1:
The system automatically analyzes historical vehicle usage patterns and calendar event data to predict future vehicle requests without requiring manual user input. By self-service processing of historical data and automatic generation of vehicle request predictions based on learned patterns, the system reduces scheduling time while managing computational complexity through automated algorithms that operate in the background.
Data Source
AI summary
Methods and apparatus for autonomous vehicle scheduling are disclosed herein. An example apparatus includes memory including machine readable instructions and processor circuitry to execute the instructions to determine that a calendar request for a vehicle is associated with a location or a route previously associated with the vehicle, the calendar request to be generated via a user interface application; generate a predicted request for the vehicle in response to the determination that the calendar request is associated with the location or the route previously associated with the vehicle; and generate a prompt to be presented via the user interface application, the prompt associated with the predicted request for the vehicle.